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Merge pull request #17 from Affectiva/new-release 

Updating the readme for the new release
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Umang Mehta 2017-02-03 22:55:47 -05:00 committed by GitHub
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README.md
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@ -1,6 +1,6 @@
#Sample Apps for Affdex SDK for Windows and Linux
Welcome to our repository on GitHub! Here you will find example code to get you started with our Affdex SDK 3.1 and begin emotion-enabling you own app! Documentation for the SDKs is available on the <a href=http://developer.affectiva.com/>Affectiva's Developer Portal</a>.
Welcome to our repository on GitHub! Here you will find example code to get you started with our Affdex Linux SDK 3.2, Affdex Windows SDK 3.4 and begin emotion-enabling you own app! Documentation for the SDKs is available on the <a href=http://developer.affectiva.com/>Affectiva's Developer Portal</a>.
*Build Status*
- Windows: [![Build status](https://ci.appveyor.com/api/projects/status/pn2y9h8a3nnkiw41?svg=true)]
@ -11,12 +11,12 @@ Dependencies
------------
*Windows*
- Affdex SDK 3.1 (64 bit)
- Affdex SDK 3.4 (64 bit)
- Visual Studio 2013 or higher
*Linux*
- Ubuntu 14.04 or CentOS 7
- Affdex SDK 3.1
- Affdex SDK 3.2
- CMake 2.8 or higher
- GCC 4.8
@ -24,6 +24,9 @@ Dependencies
- OpenCV 2.4
- Boost 1.59
- libuuid
- libcurl
- libopenssl
Installation
------------
@ -37,10 +40,10 @@ Installation
*Ubuntu*
```bashrc
sudo apt-get install build-essential libopencv-dev libboost1.55-all-dev cmake
wget https://download.affectiva.com/linux/affdex-cpp-sdk-3.1.1-2802-linux-64bit.tar.gz
sudo apt-get install build-essential libopencv-dev libboost1.55-all-dev libcurl-dev uuid-dev cmake
wget https://download.affectiva.com/linux/affdex-cpp-sdk-3.2-20-ubuntu-xenial-xerus-64bit.tar.gz
mkdir $HOME/affdex-sdk
tar -xzvf affdex-cpp-sdk-3.1.1-2802-linux-64bit.tar.gz -C $HOME/affdex-sdk
tar -xzvf affdex-cpp-sdk-3.2-20-ubuntu-xenial-xerus-64bit.tar.gz -C $HOME/affdex-sdk
export AFFDEX_DATA_DIR=$HOME/affdex-sdk/data
git clone https://github.com/Affectiva/cpp-sdk-samples.git $HOME/sdk-samples
mkdir $HOME/build
@ -50,11 +53,31 @@ make
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$HOME/affdex-sdk/lib
```
*CentOS*
```bashrc
sudo yum install libcurl-devel.x86_64 libuuid-devel.x86_64 opencv-devel cmake.x86_64
wget https://sourceforge.net/projects/boost/files/boost/1.55.0/boost_1_55_0.tar.gz/download -O boost_1_55_0.tar.gz
tar -xzvf boost_1_55_0.tar.gz -C $HOME
cd boost_1_55
./bootstrap.sh --with-libraries=log,serialization,system,date_time,filesystem,regex,timer,chrono,thread,program_options
sudo ./b2 link=static install
wget https://download.affectiva.com/linux/affdex-cpp-sdk-3.2-2893-centos-7-64bit.tar.gz
mkdir $HOME/affdex-sdk
tar -xzvf affdex-cpp-sdk-3.2-2893-centos-7-64bit.tar.gz -C $HOME/affdex-sdk
export AFFDEX_DATA_DIR=$HOME/affdex-sdk/data
git clone https://github.com/Affectiva/cpp-sdk-samples.git $HOME/sdk-samples
mkdir $HOME/build
cd $HOME/build
cmake -DOpenCV_DIR=/usr/ -DBOOST_ROOT=/usr/ -DAFFDEX_DIR=$HOME/affdex-sdk $HOME/sdk-samples
make
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$HOME/affdex-sdk/lib
```
OpenCV-webcam-demo (c++)
------------------
Project for demoing the [FrameDetector class](http://developer.affectiva.com/v3_1_1/windows/analyze-frames/). It grabs frames from the camera, analyzes them and displays the results on screen.
Project for demoing the [FrameDetector class](http://developer.affectiva.com/v3_2/cpp/analyze-frames/). It grabs frames from the camera, analyzes them and displays the results on screen.
The following command line arguments can be used to run it:
@ -74,7 +97,7 @@ The following command line arguments can be used to run it:
Video-demo (c++)
----------
Project for demoing the Windows SDK [VideoDetector class](http://developer.affectiva.com/v3_1_1/windows/analyze-video/) and [PhotoDetector class](http://developer.affectiva.com/v3_1_1/windows/analyze-photo/). It processs video or image files, displays the emotion metrics and exports the results in a csv file.
Project for demoing the Windows SDK [VideoDetector class](http://developer.affectiva.com/v3_2/cpp/analyze-video/) and [PhotoDetector class](http://developer.affectiva.com/v3_2/cpp/analyze-photo/). It processs video or image files, displays the emotion metrics and exports the results in a csv file.
The following command line arguments can be used to run it: